JP2014085921A - Information processing apparatus and method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing apparatus capable of swiftly obtaining a desired content from many contents.SOLUTION: A contents sorting section close-spreads and dispose contents on grid points in a two-dimensional space, selects any two contents therefrom, calculates a distance between the respective contents and the ambient contents to obtain a sum thereof. The contents sorting section makes a swap between the two contents, calculates distance between the respective contents and the ambient contents to obtain a sum thereof, makes a swap between the two contents. Only when the sum of the distances between the two contents and the ambient contents is smaller, the swap is saved. The present disclosure is applicable, for example, to information processing apparatuses which record plural contents in plural recording media constituting a cartridge.

Description

  The present disclosure relates to an information processing device and method, and a program, and more particularly, to an information processing device and method, and a program that can quickly reach a target content from a large amount of content.

  Patent Document 1 describes an apparatus that can dynamically define a service to be performed in response to a search query. However, the technique described in Patent Document 1 uses a search query.

  On the other hand, Patent Document 2 classifies information according to the content of the document itself without giving a classification standard from the outside, and the meaning of the document group obtained as a result of the classification is clear to the user. An analysis system is described.

JP 2012-18686 A JP 2010-182165 A

  However, in the technique described in Patent Document 2, the classification is a classification in which only text information is used, and only sentence classification is performed as a classification target.

  The present disclosure has been made in view of such a situation, and can quickly reach a target content from many contents.

  An information processing apparatus according to an aspect of the present disclosure places each content in a multidimensional space, takes out the two contents, and the similarity between the taken-out two contents and the surrounding contents positioned around the two contents The classification unit that classifies the content by repeatedly exchanging the two content based on the distance indicating the content, and the GUI (Graphical User) that indicates the content that is located at a predetermined interval among the content classified by the classification unit A display control unit for controlling the display of (Interface).

  The display control unit further includes a selection unit that selects a GUI whose display is controlled by the display control unit, the display control unit centering on the content indicated by the GUI selected by the selection unit, at intervals smaller than the predetermined interval. It is possible to control the display of the GUI indicating the content located at the location.

  When the sum of the distance indicating the degree of similarity between the two extracted contents and the surrounding contents becomes small, the classification unit can replace the two extracted contents.

  The classification unit can return the two extracted contents to the original position when the sum of the distances indicating the degree of similarity between the two extracted contents and the surrounding contents does not become small.

  The classification unit extracts two contents until a value obtained by adding the distance indicating the similarity between each content and the surrounding contents located around each content over all the contents is equal to or less than a predetermined amount. You can repeat the replacement.

  The classification unit can repeat taking out and replacing two contents until the number of repetitions reaches a predetermined number.

  A distance indicating the degree of similarity between the two contents and the surrounding contents is obtained from text information.

  A distance indicating the degree of similarity between the two contents and the surrounding contents is obtained from an image feature amount or an audio feature amount.

  According to an information processing method of one aspect of the present disclosure, an information processing apparatus arranges each content in a multidimensional space, takes out two contents, and takes out the two contents and a periphery positioned around the two contents The content is classified by repeating switching the two contents based on the distance indicating the similarity to the contents, and the display of the GUI indicating the contents located at predetermined intervals among the classified contents is controlled. .

  A program according to one aspect of the present disclosure is a program in which each content is arranged in a multidimensional space, two contents are extracted, and the two extracted contents are similar to the surrounding contents positioned around the two contents Repeating the replacement of the two contents based on the distance indicating the degree, and classifying the contents, and a GUI (Graphical) indicating the contents located at predetermined intervals among the contents classified by the classification part It is made to function as a display control unit for controlling the display of (User Interface).

  In one aspect of the present disclosure, each content is arranged in a multidimensional space, two contents are extracted, and the similarity between the two extracted contents and the surrounding contents positioned around the two contents is determined. The contents are classified by repeatedly exchanging the two contents based on the indicated distance. Then, display of a GUI (Graphical User Interface) indicating the contents located at predetermined intervals among the classified contents is controlled.

  According to the present disclosure, it is possible to quickly reach a target content among many contents.

It is a figure showing an example of composition of an information processing system to which this art is applied. It is a block diagram which shows the structural example of information processing apparatus. It is a block diagram which shows the function structural example of information processing apparatus. It is a figure explaining facet grouping by a text. It is a figure explaining the swap (exchange) of a content. It is a figure which shows the example of distribution of similar content. It is a figure which shows the example of a content selection screen. It is a figure which shows the example of the content selection screen when a content is selected. It is a flowchart explaining a content registration process. It is a flowchart explaining a content classification process. It is a flowchart explaining the display control process of a content selection screen. It is a figure which shows the example of the two-dimensional manifold to which this technique is applied. It is a figure which shows the example of the three-dimensional manifold to which this technique is applied.

  Hereinafter, modes for carrying out the present disclosure (hereinafter referred to as embodiments) will be described.

[Configuration of information processing system of this technology]
FIG. 1 is a diagram illustrating a configuration example of an information processing system to which the present technology is applied.

  The information processing system in FIG. 1 is configured to include an information processing device 11, an imaging device 12, a drive 13, and a cartridge 14.

  The information processing apparatus 11 is configured by a personal computer, for example. The information processing apparatus 11 can be connected to the imaging apparatus 12 and the drive 13 by, for example, USB (Universal Serial Bus) 3.0. When the information processing apparatus 11 is connected to the imaging apparatus 12 and the drive 13, one or more contents stored in the recording medium 12 </ b> A of the connected imaging apparatus 12 are attached to the drive 13 in accordance with a user operation. To the cartridge 14 to be written.

  The information processing apparatus 11 archives the content written in the cartridge 14, stores the feature amounts extracted from the content, and classifies the archived content using these feature amounts. Hereinafter, the classification is also referred to as grouping. Then, the information processing apparatus 11 displays the classified content selection screen and allows the user to make a selection so that the user can quickly reach the desired content.

  The imaging device 12 images a subject and records the content of the captured image (moving image or still image) on the recording medium 12A. The recording medium 12A is configured by an optical disk, a memory card, or the like.

  The drive 13 is configured such that the cartridge 14 is detachable. The drive 13 writes or erases the contents of the imaging device 12 or the information processing device 11 on a recording medium constituting the cartridge 14 to be mounted under the control of the information processing device 11 connected thereto.

  The cartridge 14 is a data storage configured so as to form one volume with 12 recording media. Note that this recording medium is, for example, an optical disk, and an example in which the cartridge 14 is composed of 12 optical disks will be described below. However, the recording medium is not necessarily limited to the optical disc, and the number of recording media is not limited to twelve.

  In the example of FIG. 1, the example in which the imaging device 12 is connected to the information processing device 11 and the content recorded on the recording medium 12 </ b> A is written to the cartridge 14 attached to the drive 13 is shown. On the other hand, for example, the recording medium 12A is attached to the drive for the recording medium 12A connected to the information processing apparatus 11 via USB, and the content recorded on the recording medium 12A is attached to the drive 13. The cartridge 14 may be written.

[Configuration of information processing equipment]
FIG. 2 is a diagram illustrating a configuration example of an information processing apparatus to which the present technology is applied.

  In the information processing apparatus 11, a CPU (Central Processing Unit) 21, a ROM (Read Only Memory) 22, and a RAM (Random Access Memory) 23 are connected to each other by a bus 24.

  An input / output interface 25 is further connected to the bus 24. An input unit 26, an output unit 27, a storage unit 28, a communication unit 29, and a drive 30 are connected to the input / output interface 25.

  The input unit 26 includes a keyboard, a mouse, a microphone, and the like. The output unit 27 includes a display, a speaker, and the like. The storage unit 28 includes a hard disk, a nonvolatile memory, and the like. The communication unit 29 includes a network interface or the like.

  The drive 30 drives a removable recording medium 31 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, and records data or deletes data recorded on the removable recording medium 31.

  In the information processing apparatus 11 configured as described above, the CPU 21 loads, for example, a program stored in the storage unit 28 to the RAM 23 via the input / output interface 25 and the bus 24 and executes the program. Thereby, for example, the functional block of FIG. 3 is configured and predetermined processing is performed.

  Note that the hardware configuration of the information processing apparatus 11 is not limited to the example of FIG. 2, and may have at least a configuration that realizes a functional configuration of FIG. 3 to be described later.

[Functional configuration example of information processing device]
FIG. 3 is a block diagram illustrating a functional configuration example of the information processing apparatus.

  In the example of FIG. 3, the information processing apparatus 11 is configured to include a content classification unit 51, a display control unit 52, a content feature amount DB (database) 53, a content management unit 54, and a feature amount extraction unit 55. .

  The content classification unit 51 classifies content registered in the content management unit 54 by name, file type, and the like. In addition, the content classification unit 51 arranges the content registered in the content management unit 54 in a multidimensional space, takes out the two content, and determines the similarity between the two taken out content and the surrounding content located around the content. The content is classified by repeating the replacement of the two contents based on the indicated distance and rearranging the contents. At this time, the distance indicating the degree of similarity between the content and the surrounding content is the text information of the content managed by the content management unit 54, the metadata information of the content stored in the content feature DB 53, the image feature, Or it is calculated | required from an audio | voice feature-value etc.

  The display control unit 52 generates a content list display screen, which will be described later with reference to FIG. 4, a content selection screen, which will be described later with reference to FIG. 7, and the like, and displays them on a display or the like constituting the output unit 27. .

  That is, the display control unit 52 generates a content selection screen including a GUI indicating content located at predetermined intervals in the distribution of content classified by the content classification unit 51, and outputs the generated content selection screen to the output unit. 27 is displayed. In addition, when the user operates a mouse (hereinafter simply referred to as the input unit 26) or the like that configures the input unit 26 to select a GUI indicating content, the display control unit 52 focuses on the selected GUI. The selected content selection screen is generated. For the generation of the content selection screen, the content information registered in the content management unit 54 and the feature amount of the content registered in the content feature amount DB 53 are also referred to as appropriate.

  The content feature amount DB 53 stores the metadata information of the content managed by the content management unit 54, the image feature amount and the audio feature amount extracted by the content feature amount extraction unit 55, and the like.

  The content management unit 54 registers and manages the content written in the cartridge 4.

  The feature amount extraction unit 55 extracts metadata information from the content registered by the content management unit 54 and registers the extracted information in the content feature amount DB 53. The feature amount extraction unit 55 extracts various feature amounts including an image feature amount and a sound feature amount, and registers the extracted feature amounts in the content feature amount DB 53.

[Description of fecet grouping by text]
In the information processing apparatus 11, content is grouped and displayed on the content list display screen 71 shown in FIG.

  In the example of FIG. 4, a content list display screen 71 is shown. In the drop-down box 81 below Group by in the second column from the left of the content list display screen 71, the content name, creation date and time, and the like are selected. Correspondingly, the contents are grouped (classified) and displayed as a list in the list display section 82 on the right side.

  For example, in the case of a content name, the list display unit 82 displays a result classified by the first character of the content name. In this case, the first character of the content name can be grouped with A-E, F-J, K-O, V-Z, etc., and it can be seen which group among them.

  In addition, in the case of creation date and time, the results are classified in the list display section 82 as “today”, “yesterday”, “a little before”, “one week ago”, “one month ago”, “one year ago”, etc. Is displayed.

  In the example of FIG. 4, type is now selected in the drop-down box 81. Correspondingly, in the list display section 82 on the right side, the content list is displayed grouped by content type.

  In the case of type, the type acquired from the content such as mxf, mp4, avi, and mts is displayed below the drop-down box 81. Then, by selecting a certain type, the list display unit 82 can display only the contents grouped by the selected type.

[Grouping by contents (text)]
There are cases where the content includes a lot of text information, for example, the content itself is in a text format, or a moving image content but includes a lot of metadata information. In such a case, the contents can be grouped according to the text contents.

  As a grouping method, there is a method in which text is divided into word units in advance by morphological analysis, distance is calculated by a technique called cosine correlation, and grouping processing is performed using the distance.

[Specific example of grouping process]
Next, with reference to FIG. 5, the grouping process performed using the above-described distance will be specifically described. In the example of FIG. 5, a square represents content.

  As shown in FIG. 5, the content classification unit 51 spreads each content so as to be arranged on a grid point in the two-dimensional space. In the example of FIG. 5, only 5 × 3 content is spread, but actually, all the content managed by the content management unit 54 is arranged on the grid points in the two-dimensional space.

  The content classification unit 51 takes out any two pieces of content (for example, hatched content) from among them, calculates the distance between each piece of content and the four surrounding pieces of content, calculates the sum, D_a, Let D_b.

  The content classification unit 51 swaps (exchanges) the two contents, and similarly calculates D_a ′ and D_b ′.

  The content classification unit 51 keeps this swap only when D_a ′ + D_b ′ <D_a + D_b, that is, when the sum of the distances between the two contents becomes small by swapping the content. Return to.

  The content classification unit 51 repeats the above processing up to a predetermined number of times, or until the value obtained by adding the distance between each content and surrounding content over all the content falls below a predetermined value or an average value. In this way, the content classification unit 51 performs content grouping (classification).

[Example of content distribution after grouping]
FIG. 6 is a diagram conceptually showing the distribution of content after grouping. In the example of FIG. 6, a two-dimensional space 91 including a square representing content managed by the content management unit 54 is shown. That is, in the case of FIG. 6, 7 × 6 content is arranged in the two-dimensional space 91, and 42 contents are managed in the content management unit 54.

  Specifically, contents 1a to 6a are arranged in the first column from the left. In the second column from the left, contents 1b to 6b are arranged. In the third column from the left, contents 1c to 6c are arranged. In the fourth column from the left, contents 1d to 6d are arranged. In the fifth column from the left, contents 1e to 6e are arranged. In the sixth column from the left, contents 1f to 6f are arranged. In the seventh column from the left, 1g to 6g contents are arranged.

  In the two-dimensional space 91, the content grouping described above is arranged such that content with high similarity is positioned vertically and horizontally with respect to each content.

  That is, from the arrangement of the two-dimensional space 91, for example, the content 3c can be said to be a content having a high degree of similarity to the content 2c, the content 3d, the content 4c, and the content 3b that are located around the top, bottom, left, and right of the content 3c. For example, it can be said that the content 5e is a content having high similarity to the content 4e, the content 5f, the content 6e, and the content 5d that are located around the top, bottom, left, and right of the content 5e.

[Example of content selection screen]
Next, a screen for navigating the above-described two-dimensional space, that is, grouped content, to the user will be described with reference to FIGS.

  In the example of FIGS. 7 and 8, a content selection screen 95 and the two-dimensional space 91 described above with reference to FIG. 6 are shown. The content selection screen 95 displays a GUI for the user to select content corresponding to the content surrounded by a line in the two-dimensional space 91. For example, a preview image of the corresponding content can be superimposed on the GUI.

  The display control unit 52 first displays a GUI corresponding to squares (contents) at intervals as wide as possible and arranged as wide as possible on the content selection screen 95 in FIG. Display.

  Specifically, in the example of FIG. 7, the GUI 2B corresponding to the content 2b, the GUI 4B corresponding to the content 4b, and the GUI 6B corresponding to the content 6b are displayed on the content selection screen 95, respectively. A GUI 2D corresponding to the content 2d, a GUI 4D corresponding to the content 4d, and a GUI 6D corresponding to the content 6d are displayed on the content selection screen 95, respectively. Further, a GUI 2F corresponding to the content 2f, a GUI 4F corresponding to the content 4f, and a GUI corresponding to the GUI 6F corresponding to the content 6f are displayed on the content selection screen 95, respectively.

  Then, one of the GUIs on the content selection screen 95 is selected in accordance with a user operation input via the input unit 26. Correspondingly, the display control unit 52 displays the GUI corresponding to the content located at intervals that are narrower than the case of FIG. 7 with the content corresponding to the GUI as the center, and the content selection screen of FIG. 95.

  That is, the GUI 2B located at the upper left in the content selection screen 95 of FIG. 7 is selected according to the user's operation. In response to this, the display control unit 52 displays the GUI corresponding to the content surrounded by the line in the two-dimensional space 91 of FIG. 8 with the content corresponding to the selected GUI 2B as the center, and the content selection screen of FIG. 95.

  Specifically, in the example of FIG. 8, a GUI 1A corresponding to the content 1a, a GUI 2A corresponding to the content 2a, and a GUI 3A corresponding to the content 3a are displayed on the content selection screen 95, respectively. A GUI 1B corresponding to the content 1b, a GUI 2B corresponding to the content 2b, and a GUI 3B corresponding to the content 3b are displayed on the content selection screen 95, respectively. Further, a GUI 1C corresponding to the content 1c, a GUI 2C corresponding to the content 2c, and a GUI corresponding to the GUI 3C corresponding to the content 3c are displayed on the content selection screen 95, respectively.

  That is, by displaying the content selection screen 95 of FIG. 7, it is possible to navigate as wide an element (content) as possible first. Then, by displaying the content selection screen 95 of FIG. 8, it is possible to always select a content from a certain choice without being limited to one content while approaching the desired content.

[Grouping by contents (images and sounds)]
In the above description, an example in which the content includes a lot of text information has been described. In addition, various image feature amounts or audio feature amounts can be used as the distance between the content and the content.

  As the image feature amount, for example, the pixel value itself, the luminance histogram, the color histogram, the direction histogram, the activity distribution of the image, the color having the largest area, and the motion distribution can be used for the moving image. is there.

  As the audio feature amount, for example, a frequency distribution, a frequency at which the power reaches a peak, a sound continuity pattern, or the like can be used.

  Among the above, a plurality of attributes may be used together. Further, these feature quantities and the text information described above can be used together. From these feature amounts, a distance indicating the degree of similarity between the contents is calculated, and the calculated distance is used in the grouping process described above with reference to FIG. Then, the content selection screen described above with reference to FIGS. 7 and 8 is displayed.

[Content registration process]
Next, content registration processing of the information processing apparatus 11 will be described with reference to the flowchart of FIG.

  When the information processing apparatus 11 is connected to the imaging apparatus 12 and the drive 13, one or more contents stored in the recording medium 12 </ b> A of the connected imaging apparatus 12 are attached to the drive 13 in accordance with a user operation. To the cartridge 14 to be written.

  In step S <b> 11, the content management unit 54 registers the content written in the cartridge 4.

  In step S <b> 12, the feature amount extraction unit 55 extracts various feature amounts including metadata information and image feature amounts and audio feature amounts from the content registered in the content management unit 54. In step S <b> 13, the feature amount extraction unit 55 registers the extracted metadata information and feature amounts in the content feature amount DB 53.

  In step S14, the content classification unit 51 arranges all content managed by the content management unit 54 in the two-dimensional space. For example, as shown in FIG. 5, the content classification unit 51 spreads each content so as to be arranged on a lattice point in a two-dimensional space.

  In step S <b> 15, the content classification unit 51 performs content classification processing registered in the content management unit 54. This content classification process will be described later with reference to FIG. By the process of step S15, two contents are extracted from the contents arranged in the two-dimensional space, and the two contents are selected based on the distance indicating the similarity between the two extracted contents and the surrounding contents. The content is classified by repeating the replacement and rearranging the content.

  As described above, in the information processing apparatus 11, content is registered, metadata and feature quantities are registered, all content is arranged in a two-dimensional space, and content is classified by rearranging the content. Is done.

[Content classification process]
Next, the content classification process in step S15 of FIG. 9 will be described with reference to the flowchart of FIG.

  The content classification unit 51 sets count to 0 in step S31. In step S32, the content classification unit 51 selects two pairs of swap pairs (i, j) from all the content arranged in the two-dimensional space as described above with reference to FIG.

  In step S <b> 33, the content classification unit 51 calculates sums D_i and D_j of distances between each content in the case of swap pair (i, j) and their surrounding content.

  In step S34, the content classification unit 51 exchanges the content (i, j), and calculates the sums D_i 'and D_j' of the distance between each content and the surrounding content in the case of the swap pair (i, j). .

  In step S35, the content classification unit 51 determines whether or not D_i ′ + D_j ′ <D_i + D_j. If it is determined in step S35 that D_i ′ + D_j ′ <D_i + D_j, the process proceeds to step S36.

  In step S36, the content classification unit 51 adopts the swap of the content (i, j), and in step S37, calculates the total distance sum distance between all the content and the surrounding content.

  In step S38, the content classification unit 51 determines whether or not distance <distance_min calculated in step S37. If it is determined in step S38 that distance <distance_min, the process proceeds to step S39. In step S39, the content classification unit 51 sets distance_min = distance, and the process proceeds to step S41.

  If it is determined in step S38 that distance <distance_min is not satisfied, step S39 is skipped, and the process proceeds to step S41.

  If it is determined in step S35 that D_i ′ + D_j ′ <D_i + D_j is not satisfied, the process proceeds to step S40. In step S40, the content classification unit 51 prohibits swapping of the content (i, j), returns it to the original state, and the process proceeds to step S41.

  In step S41, the content classification unit 51 determines whether distance_min <predetermined value th. The predetermined value may be an average value. If it is determined in step S41 that distance_min <predetermined value th, the content classification process is terminated.

  If it is determined in step S41 that distance_min <predetermined value th is not satisfied, the process proceeds to step S42. In step S42, the content classification unit 51 refers to the value of count, and determines whether or not it has been repeated a predetermined number of times. If it is determined in step S42 that the process has been repeated a predetermined number of times, the content classification process is terminated.

  If it is determined in step S42 that the process has not been repeated a predetermined number of times, the process proceeds to step S43. In step S43, the content classification unit 51 adds 1 to count, and then the process returns to step S32 and the subsequent processes are repeated.

  As described above, the content is arranged in the two-dimensional space 91 and classified as described above with reference to FIG.

[Display control processing]
Next, the display control processing of the content selection screen of the information processing apparatus 11 will be described with reference to the flowchart of FIG.

  In step S61, the display control unit 52 displays the content selection screen 95 described above with reference to FIG. On the content selection screen 95 of FIG. 7, a GUI corresponding to content (squares) at intervals as wide as possible is arranged in as wide a range as possible so that the entire two-dimensional space 91 can be seen through.

  In step S62, in response to the user operation, the display control unit 52 determines whether or not content corresponding to the GUI has been selected. If it is determined in step S62 that the content corresponding to the GUI has been selected, the process proceeds to step S63.

  In step S <b> 63, in response to a user operation input via the input unit 26, the display control unit 52 does not display around the content in the two-dimensional space corresponding to the selected GUI on the content selection screen 95. It is determined whether there is any content.

  For example, when the GUI 2B is selected on the content selection screen 95 of FIG. 7, there is a non-displayed content around the content 2b in the two-dimensional space corresponding to the GUI 2B. Therefore, in this case, in step S63, it is determined that there is non-displayed content, and the process proceeds to step S64.

  In step S64, the display control unit 52 displays the content selection screen 95 centering on the selected content 2b. At this time, the display control unit 52 displays on the content selection screen 95 in FIG. 8 a GUI indicating content located at intervals that are narrower than the case of FIG. . Thereafter, the process proceeds to step S66.

  For example, when GUI 2C is selected on the content selection screen 95 of FIG. 8, there are still undisplayed contents (1d, 2d, 3d) around the content 2c in the two-dimensional space corresponding to the GUI 2C. Also in this case, the content selection screen 95 centering on the content 2c is displayed. In this case, a GUI indicating content located at the same interval as in the case of FIG. 8 is displayed.

  On the other hand, for example, when the GUI 2B is selected on the content selection screen 95 in FIG. 8, there is no non-displayed content around the content 2b in the two-dimensional space corresponding to the GUI 2B. Therefore, in this case, it is determined in step S63 that there is no non-displayed content, and the process proceeds to step S65.

  In step S65, the display control unit 52 displays the detailed information of the selected content and the like, and the content selection screen display control process is terminated.

  If it is determined in step S62 that no content has been selected, the process proceeds to step S66.

  In step S66, the display control unit 52 determines whether or not to end the display of the content selection screen. If it is determined in step S66 that the display of the content selection screen is to be terminated, the display control process for the content selection screen is terminated.

  If it is determined in step S66 that the display of the content selection screen is not finished, the process returns to step S62 and the subsequent processes are repeated.

  As described above, the contents are arranged in the two-dimensional space, and the swap is repeated only when the sum of the distances to the surroundings indicating the similarity is small, so that the contents are classified. Item) can be efficiently classified.

  In addition, since a content selection screen is displayed that displays a GUI for selecting content at as wide an interval as possible in a two-dimensional space, the largest possible element (content) is navigated first. can do.

  Further, a content selection screen including a content GUI centered on content in a two-dimensional space corresponding to the GUI selected on the content selection screen is displayed. Accordingly, it is possible to always select a content from a certain selection without being limited to one content while approaching a desired content.

  Note that the content described above may be text, a moving image, a still image, or audio.

  In the above description, an example in which content is arranged in a two-dimensional space has been described. However, the present technology is not limited to a two-dimensional space. The present technology can be applied not only to two dimensions but also to other multi-dimensions. For example, the present technology can be applied to a two-dimensional manifold as shown in FIG. 12 and a three-dimensional manifold as shown in FIG.

[Modification]
FIG. 12 is a diagram illustrating an example of a two-dimensional manifold to which the present technology can be applied, and FIG. 13 is a diagram illustrating an example of a three-dimensional manifold to which the present technology can be applied.

  The above-described example is an example in which the content is arranged on the two-dimensional plane 101 that is one of the two-dimensional manifolds, but is not limited thereto. That is, the content may be arranged on one of the two-dimensional manifolds, the torus 102, the crossing surface 103, the sphere 104, the Klein bottle 105, the double torus 106, and the triple torus 107. .

  Further, the content may be arranged in any one of the Euclidean coordinates 111, 3-sphere 112, and Hyperbolic 3-space 113, which are one of the three-dimensional manifolds.

  The series of processes described above can be executed by hardware or can be executed by software. When a series of processing is executed by software, a program constituting the software is installed in the computer. Here, the computer includes, for example, a general-purpose personal computer capable of executing various functions by installing various programs by installing a computer incorporated in dedicated hardware.

  In this case, the program executed by the computer (CPU 21) in FIG. 2 can be provided by being recorded in the removable recording medium 31 as a package medium or the like, for example. The program can be provided via a wired or wireless transmission medium such as a local area network, the Internet, or digital satellite broadcasting.

  In the computer, the program can be installed in the storage unit 28 via the input / output interface 25 by attaching the removable recording medium 31 to the drive 30. The program can be received by the communication unit 29 via a wired or wireless transmission medium and installed in the storage unit 28. In addition, the program can be installed in the ROM 22 or the storage unit 28 in advance.

  The program executed by the computer may be a program that is processed in time series in the order described in this specification, or in parallel or at a necessary timing such as when a call is made. It may be a program for processing.

  In the present specification, the steps describing the series of processes described above are not limited to the processes performed in time series according to the described order, but are not necessarily performed in time series, either in parallel or individually. The process to be executed is also included.

  The embodiments in the present disclosure are not limited to the above-described embodiments, and various modifications can be made without departing from the gist of the present disclosure.

  For example, the present technology can take a configuration of cloud computing in which one function is shared by a plurality of devices via a network and jointly processed.

  In addition, each step described in the above flowchart can be executed by being shared by a plurality of apparatuses in addition to being executed by one apparatus.

  Further, when a plurality of processes are included in one step, the plurality of processes included in the one step can be executed by being shared by a plurality of apparatuses in addition to being executed by one apparatus.

  In addition, in the above description, the configuration described as one device (or processing unit) may be divided and configured as a plurality of devices (or processing units). Conversely, the configurations described above as a plurality of devices (or processing units) may be combined into a single device (or processing unit). Of course, a configuration other than that described above may be added to the configuration of each device (or each processing unit). Furthermore, if the configuration and operation of the entire system are substantially the same, a part of the configuration of a certain device (or processing unit) may be included in the configuration of another device (or other processing unit). . That is, the present technology is not limited to the above-described embodiment, and various modifications can be made without departing from the gist of the present technology.

  The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the disclosure is not limited to such examples. It is clear that various changes and modifications can be conceived within the scope of the technical idea described in the claims if the person has ordinary knowledge in the technical field to which the present disclosure belongs, Of course, it is understood that these also belong to the technical scope of the present disclosure.

In addition, this technique can also take the following structures.
(1) Each content is arranged in a multi-dimensional space, and two contents are taken out. Based on the distance indicating the degree of similarity between the two taken out contents and surrounding contents located around the two contents, A classification unit that classifies the content by repeatedly exchanging two content items,
An information processing apparatus comprising: a display control unit that controls display of a GUI (Graphical User Interface) indicating content positioned at predetermined intervals among the content classified by the classification unit.
(2) It further includes a selection unit that selects a GUI whose display is controlled by the display control unit,
The information according to (1), wherein the display control unit controls display of a GUI indicating content positioned at intervals smaller than the predetermined interval, with the content indicated by the GUI selected by the selection unit as a center. Processing equipment.
(3) The classification unit replaces the two extracted contents when the sum of the distances indicating the degree of similarity between the two extracted contents and the surrounding content is small. (1) or (2) Information processing device.
(4) When the sum of distances indicating the degree of similarity between the two extracted contents and the surrounding contents is not reduced, the classification unit returns the two extracted contents to the original positions. (1) to (3 ).
(5) The classification unit includes two contents until a value obtained by adding the distance indicating the similarity between each content and the surrounding content located around each content is less than or equal to a predetermined amount. The information processing apparatus according to any one of (1) to (4), wherein the information processing device is repeatedly taken out and replaced.
(6) The information processing apparatus according to any one of (1) to (4), wherein the classification unit repeats taking out and replacing two contents until the number of repetitions reaches a predetermined number.
(7) The information processing apparatus according to any one of (1) to (6), wherein a distance indicating a similarity between the two contents and the surrounding contents is obtained from text information.
(8) The information processing apparatus according to any one of (1) to (6), wherein a distance indicating a degree of similarity between the two contents and the surrounding contents is obtained from an image feature amount or an audio feature amount.
(9) Information processing device
Each content is arranged in a multidimensional space, and the two contents are taken out. The two contents are set based on a distance indicating the similarity between the two taken out contents and the surrounding contents located around the two contents. Repeat the replacement to classify the content,
An information processing method for controlling display of a GUI (Graphical User Interface) indicating content located at predetermined intervals among classified content.
(10) Connect the computer
Each content is arranged in a multidimensional space, and the two contents are taken out. The two contents are set based on a distance indicating the similarity between the two taken out contents and the surrounding contents located around the two contents. A classification part that repeats replacement and classifies content;
A program that functions as a display control unit that controls display of a GUI (Graphical User Interface) indicating content located at predetermined intervals among the content classified by the classification unit.

    DESCRIPTION OF SYMBOLS 11 Information processing apparatus, 12 Imaging device, 12A Recording medium, 13 Drive, 14 Cartridge, 26 Input part, 27 Output part, 51 Content classification part, 52 Display control part, 53 Content feature-value DB, 54 Content management part, 55 Features Quantity extraction unit, 91 2D space, 95 Content selection screen

Claims (10)

Each content is arranged in a multidimensional space, and the two contents are taken out. The two contents are set based on a distance indicating the similarity between the two taken out contents and the surrounding contents located around the two contents. A classification part that repeats replacement and classifies content;
An information processing apparatus comprising: a display control unit that controls display of a GUI (Graphical User Interface) indicating content positioned at predetermined intervals among the content classified by the classification unit. A selection unit that selects a GUI whose display is controlled by the display control unit;
2. The information processing according to claim 1, wherein the display control unit controls display of a GUI indicating content located at intervals smaller than the predetermined interval, with the content indicated by the GUI selected by the selection unit as a center. apparatus. The information processing apparatus according to claim 1, wherein the classification unit replaces the two extracted contents when the sum of the distances indicating the degree of similarity between the two extracted contents and the surrounding contents becomes small. The information processing apparatus according to claim 3, wherein the classification unit returns the two extracted contents to the original position when the sum of the distances indicating the similarity between the two extracted contents and the surrounding contents does not become small. The classification unit extracts two contents until a value obtained by adding the distance indicating the similarity between each content and the surrounding contents located around each content over all the contents is equal to or less than a predetermined amount. The information processing apparatus according to claim 4, wherein the replacement is repeated. The information processing apparatus according to claim 4, wherein the classification unit repeats taking out and replacing two contents until the number of repetitions reaches a predetermined number. The information processing apparatus according to claim 1, wherein a distance indicating a similarity between the two contents and the surrounding contents is obtained from text information. The information processing apparatus according to claim 1, wherein a distance indicating a similarity between the two contents and the surrounding contents is obtained from an image feature amount or an audio feature amount. Information processing device
Each content is arranged in a multidimensional space, and the two contents are taken out. The two contents are set based on a distance indicating the similarity between the two taken out contents and the surrounding contents located around the two contents. Repeat the replacement to classify the content,
An information processing method for controlling display of a GUI (Graphical User Interface) indicating content located at predetermined intervals among classified content. Computer
Each content is arranged in a multidimensional space, and the two contents are taken out. The two contents are set based on a distance indicating the similarity between the two taken out contents and the surrounding contents located around the two contents. A classification part that repeats replacement and classifies content;
A program that functions as a display control unit that controls display of a GUI (Graphical User Interface) indicating content located at predetermined intervals among the content classified by the classification unit.

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